Deep Learning & Reinforcement Learning
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(A new collaboration with colleagues Honglak Lee and Richard Lewis)
Zero-Shot Task Generalization with Multi-Task Deep Reinforcement Learning
by Junhyuk Oh, Satinder Singh, Honglak Lee, and Pushmeet Kohli.
In International Conference on Machine Learning (ICML), 2017.
Learning to Query, Reason, and Answer Questions on Ambiguous Texts.
by Xiaoxiao Guo, Tim Klinger, Clemens Rosenbaum, Jospeh Bigus, Murray Campbell, Ban Kawas, Kartik Talamadupula, Gerald Tesauro, and Satinder Singh.
In 5th International Conference on Learning Representations (ICLR), 2017.
Control of Memory, Active Perception, and Action in Minecraft.
by Junhyuk Oh, Valliappa Chockalingum, Satinder Singh, and Honglak Lee.
In 33rd International Conference on Machine Learning (ICML), 2016.
Deep Learning for Reward Design to Improve Monte Carlo Tree Search in ATARI Games.
by Xiaoxiao Guo, Satinder Singh, Richard Lewis, and Honglak Lee.
In 25th International Joint Conference on Artificial Intelligence (IJCAI), 2016.
Action-Conditional Video Prediction Using Deep Networks in ATARI Games.
by Juhnyuk Oh, Xiaoxiao Guo, Honglak Lee, Richard Lewis, and Satinder Singh.
In Neural Information Processing Systems, 2015.
arxiv pdf, NIPS pdf, NIPS Appendix pdf.
Deep Learning for Real-Time Atari Game Play Using Offline Monte-Carlo Tree Search Planning.
by Xiaoxiao Guo, Satinder Singh, Honglak Lee, Richard Lewis, and Xiaoshi Wang.
In Neural Information Processing Systems (NIPS), 2014.